Rapid Identification of Mycobacterial Whole Cells in Solid and Liquid Culture Media by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry

Author:

Lotz Aurélie12,Ferroni Agnès1,Beretti Jean-Luc1,Dauphin Brunhilde3,Carbonnelle Etienne4,Guet-Revillet Hélène12,Veziris Nicolas5,Heym Béate6,Jarlier Vincent5,Gaillard Jean-Louis6,Pierre-Audigier Catherine7,Frapy Eric2,Berche Patrick12,Nassif Xavier12,Bille Emmanuelle12

Affiliation:

1. Assistance Publique-Hôpitaux de Paris, Laboratoire de Microbiologie, Hôpital Necker-Enfants Malades, Paris, France

2. Université Paris 5 Descartes, Faculté de Médecine, Site Necker, Paris, France

3. Andromas SAS, 156 rue de Vaugirard, Paris, France

4. Assistance Publique-Hôpitaux de Paris, Laboratoire de Microbiologie, Hôpital Européen Georges Pompidou, Paris, France

5. Assistance Publique-Hôpitaux de Paris, National Reference Center for Mycobacteria, Hôpital Pitié-Salpêtrière, Paris, France

6. Assistance Publique-Hôpitaux de Paris, Laboratoire de Microbiologie, Hôpital Ambroise Paré, Boulogne-Billancourt, France

7. Assistance Publique-Hôpitaux de Paris, Laboratoire de Microbiologie, Hôpital Bichat-Claude Bernard, Paris, France

Abstract

ABSTRACT Mycobacterial identification is based on several methods: conventional biochemical tests that require several weeks for accurate identification, and molecular tools that are now routinely used. However, these techniques are expensive and time-consuming. In this study, an alternative method was developed using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). This approach allows a characteristic mass spectral fingerprint to be obtained from whole inactivated mycobacterial cells. We engineered a strategy based on specific profiles in order to identify the most clinically relevant species of mycobacteria. To validate the mycobacterial database, a total of 311 strains belonging to 31 distinct species and 4 species complexes grown in Löwenstein-Jensen (LJ) and liquid (mycobacterium growth indicator tube [MGIT]) media were analyzed. No extraction step was required. Correct identifications were obtained for 97% of strains from LJ and 77% from MGIT media. No misidentification was noted. Our results, based on a very simple protocol, suggest that this system may represent a serious alternative for clinical laboratories to identify mycobacterial species.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

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